climpred: verification of weather and climate forecasts¶
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Version 2.1.1 Release¶
October 13th, 2020
The most recent release adds a few new features along with a few deprecations. We want
users to think about methodology with every call of
verify()
, so we now require explicit
keywords for metric
, comparison
, dim
, and alignment
. We also require
the explicit definition of iterations
for
bootstrap()
.
We’ve added a few new features as well (see key additions below). For a complete list, please see the changelog.
An early implementation of bias correction.
Spatial dimensions can now be used in metric calls, e.g. for pattern correlation.
New metrics have been added from
xskillscore
, which are mostly based on the Contingency table. We have also added additional probability metrics: the ranked probability score, reliability, discrimination, and ranked histogram.Math operations can be used between
PredictionEnsemble
objects (see example here).Users can now quick plot their prediction system (if there are no spatial dimensions) with
plot()
. See an example of this in the quick start.
Installation¶
You can install the latest release of climpred
using pip
or conda
:
pip install climpred
conda install -c conda-forge climpred
You can also install the bleeding edge (pre-release versions) by cloning this
repository and running pip install . --upgrade
in the main directory
Getting Started
User Guide
Help & Reference